@文章{信息:doi/10.2196/25893，作者="Oldeweme, Andreas and M{\"a}rtins, Julian and Westmattelmann, Daniel and Schewe, Gerhard"，标题="透明度、信任和社会影响对大流行时期不确定性降低的作用:采用COVID-19追踪应用程序的实证研究"，期刊="J Med Internet Res"，年="2021"，月="2"，日="8"，卷="23"，数="2"，页数="e25893"，关键词="不确定性降低理论;城市轨道交通;COVID-19;跟踪应用程序;采用移动医疗保健;DCA-transparency;社会影响;初始信任;公共卫生;电子健康; communication; trust; surveillance; monitoring; app; empirical; risk; use", abstract="Background: Contact tracing apps are an essential component of an effective COVID-19 testing strategy to counteract the spread of the pandemic and thereby avoid overburdening the health care system. As the adoption rates in several regions are undesirable, governments must increase the acceptance of COVID-19 tracing apps in these times of uncertainty. Objective: Building on the Uncertainty Reduction Theory (URT), this study aims to investigate how uncertainty reduction measures foster the adoption of COVID-19 tracing apps and how their use affects the perception of different risks. Methods: Representative survey data were gathered at two measurement points (before and after the app's release) and analyzed by performing covariance-based structural equation modeling (n=1003). Results: We found that uncertainty reduction measures in the form of the transparency dimensions disclosure and accuracy, as well as social influence and trust in government, foster the adoption process. The use of the COVID-19 tracing app in turn reduced the perceived privacy and performance risks but did not reduce social risks and health-related COVID-19 concerns. Conclusions: This study contributes to the mass adoption of health care technology and URT research by integrating interactive communication measures and transparency as a multidimensional concept to reduce different types of uncertainty over time. Furthermore, our results help to derive communication strategies to promote the mass adoption of COVID-19 tracing apps, thus detecting infection chains and allowing intelligent COVID-19 testing. ", issn="1438-8871", doi="10.2196/25893", url="//www.mybigtv.com/2021/2/e25893", url="https://doi.org/10.2196/25893", url="http://www.ncbi.nlm.nih.gov/pubmed/33465036" }